Gemini · 11 hours ago
Principal Data Scientist, Machine Learning (Growth)
San Francisco, CA
Full-time
Hybrid
Lead/Staff
$192K/yr - $275K/yr
10+ years expGemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss, offering a range of crypto products and services. As a Principal Data Scientist focused on Machine Learning for Growth, you will improve customer experience by designing and deploying models to enhance onboarding and product adoption across Gemini’s ecosystem.
CryptocurrencyFinanceFinancial ServicesFinTechWeb3
Responsibilities
Analyze large, complex datasets to identify opportunities to proactively improve onboarding and product adoption opportunities and engineer predictive features using internal and external data sources
Design, train, and deploy machine learning models to identify growth opportunities, including lifetime value, marketing channel optimization, and product cross-sell models
Build and maintain end-to-end data and model pipelines for marketing and growth, including onboarding & adoption anomaly detection and behavioral profiling of growth drivers
Evaluate model performance through experiments, backtesting, and continuous monitoring to improve adoption rates and improve customer acquisition cost
Partner with product managers, engineers, and customer service operations to translate model outputs into effective growth strategies and user-facing features
Communicate findings and recommendations to technical and non-technical audiences, influencing strategy and prioritization
Mentor and guide more junior and mid-level data scientists & machine learning engineers: lead code reviews, design reviews, and best practice evangelism
Help recruit and onboard new talent, shaping the future of Gemini’s machine learning discipline
Stay up to date on new tools, technologies, and machine learning approaches, bringing proposals and proof-of-concepts when appropriate
Qualification
Required
10+ years of experience (7+ years with PhD) applying data science and machine learning in financial, payments, or B2C platforms
5+ years of experience developing, deploying, and maintaining production-grade ML models, ideally for real-time or large-scale applications
Strong proficiency in Python and relevant modeling libraries (eg, scikit-learn, xgboost, TensorFlow, PyTorch) and SQL
Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar
Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark)
Demonstrated ability to work cross-functionally with product, engineering, and operations teams
Excellent communication skills and the ability to translate complex technical concepts into actionable insights
Preferred
Master's degree or equivalent experience in a quantitative field
Domain expertise in crypto / blockchain / Web3 data (on-chain data, DeFi protocols, transaction analytics)
Experience with lifetime value, marketing mix, or product recommendation models in fintech, banking, or crypto
Understanding of model governance, interpretability, and fairness in regulated financial contexts
Experience mentoring data scientists / machine learning engineers or contributing to technical best practices within a team
Proven experience in recruiting, mentoring, leading design discussions, and influencing data science and machine learning best practices across teams
Benefits
A discretionary annual bonus
Long-term incentive in the form of a new hire equity grant
Comprehensive health plans
401K with company matching
Paid Parental Leave
Flexible time off
Company
Gemini
Gemini is a licensed digital asset exchange and custodian built for both individuals and institutions.
501-1000 employees
H1B Sponsorship
Gemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
Funding
Current Stage
Public CompanyTotal Funding
$499.9MKey Investors
RippleDraper DragonMorgan Creek Digital
2025-09-12IPO
2025-07-10Debt Financing· $75M
2022-06-20Secondary Market· $1M
Leadership Team
Tyler Winklevoss
Co-Founder & CEO
Cameron Winklevoss
Co-founder & President
Recent News
Hindu Business Line
2026-01-20
2026-01-20
2026-01-20
Company data provided by crunchbase